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Abstract:

In this article we advance the idea of a cognitive
network, capable of perceiving current network
conditions and then planning, learning, and
acting according to end-to-end goals. Cognitive
networks are motivated by the complexity, heterogeneity,
and reliability requirements of
tomorrow?s networks, which are increasingly
expected to self-organize to meet user and application
objectives. We compare and contrast cognitive
networks with related research on
cognitive radios and cross-layer design. By defining
cognitive networks, examining their relationship
to other technologies, discussing critical
design issues, and providing a framework for
implementation, we aim to establish a foundation
for further research and discussion.